Newsroom
Market News
Big moves, why they moved, pre- and post-market. Click a headline to read it — the arrows walk the list.
Movers
- Top gainers in TOP US - Industrials Companies - CAT, DHR, GE
- Top gainers in TOP US - Healthcare Companies - AMGN, ABBV
- Top gainers in TOP US - Financial Services Companies - C, BAC, JPM, V, MA
- Top gainers in TOP US - Energy Companies - XOM, BP, SU, PBR, COP
- Top gainers in TOP US - Consumer Defense Companies - PEP, TGT, KHC, PM, MDLZ
- Top gainers in TOP US - Consumer Cyclical Companies - DIS, SBUX, BABA
- Top gainers in TOP US - Basic Materials - AA, VALE, ECL, SHW, RIO
- Top gainers in TOP US 30 Stocks - PDFS, CROX, MAN, VZ, AAPL
- Top gainers in Top OIL Stocks - SACH, ENPH, OSUR, CNC, CLH
- Top gainers in Top GOLD Stocks - GRPN, FNV, NEM, DUST, SSRM
- Top gainers in Tobacco stocks - BTI, MO, PM, UVV
- Top gainers in The TECH Giants - ADBE, CRM, HPE, ORCL, WDAY
- Top gainers in The Giants - TSLA, GOOGL, META, NVDA, AAPL
- Top gainers in Telecom Giants - T, VZ, CMCSA, CHT
- Top gainers in Tech Stocks - PYPL, SNPS, TEAM, JD, RPD
- Top gainers in Stocks with Regular Dividends - T, CPB, ET, XOM, PXD
- Top gainers in Stay at Home Stocks - K, DIS, GIS, T, CPB
- Top gainers in Sport, sponsors, brands and more. - DKNG, ARMK, MSGS, CMCSA, BYD
- Top gainers in Sports Gaming World - DIS, GAMR, NVDA, MU, TTWO
- Top gainers in SPDR Sectors - XLC, XLY, XLP, XLF, XLK
- Top gainers in SPACs - OPEN, DKNG, QS
- Top gainers in Space: The Final Frontier - TSLA, VTSI, ADBE, IVAC, HXL
- Top gainers in Software ETFs - SKYY, GAMR, IGV, AIQ, HACK
- Top gainers in Software as a Service (SAAS) - BILL, NET, TEAM, TWLO, TEAM
- Top gainers in Software-as-a-service Companies - ADBE, SMAR, DOCU, ZUO, CRM
- Top gainers in Social Responsible Investing - CRM, ECL, CSCO, MA, AAPL
- Top gainers in Social Media - LEE, WHLM, GOOGL, GOOG, MTCH
- Top gainers in Smart Wearables - TNDM, DXCM, AAPL, GRMN, MSFT
- Top gainers in Smart Transportation Stocks - AXL, UPLD, CAR, CMBS
- Top gainers in Small Business Economy - ADBE, FVRR, DOCU, PYPL, GDDY
- Top gainers in Shark Tank Mr. Wonderful ETFs - OGIG
- Top gainers in Set-It-And-Forget-It ETFs - VGT, XLE, VPU, VYM, PFF
- Top gainers in Semiconductor Stocks - AMAT, NVDA, MU, TSM, INTC
- Top gainers in Semiconductor stocks - CLS, FLEX
- Top gainers in Rise of the Machines - TSLA, NVDA, TRMB, MU, IBM
- Top gainers in Railroad Companies - WAB, CNI, RAIL, CSX, CP
- Top gainers in Payment Processing Companies - PYPL, BAC, FLT, AXP, SQ
- Top gainers in Online Marketplace - GRPN, TRIP, SFIX, BKNG, LEVI
- Top gainers in Omaha Top Picks - BAC, KHC, AXP, OXY, AAPL
- Top gainers in NFT Stocks - DKNG, NET, MAT
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with